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SEMS: Scalable Embedding Memory System for Accelerating Embedding-Based DNNs.
Sejin Kim
Jungwoo Kim
Yongjoo Jang
Jaeha Kung
Sungjin Lee
Published in:
IEEE Comput. Archit. Lett. (2022)
Keyphrases
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robust image watermarking
database
nonlinear dimensionality reduction
information systems
multidimensional scaling
memory efficient
data mining
case study
data structure
vector space
main memory
data hiding
graph embedding
manifold embedding